Study of the Elemental Content of Some Natural and Synthetic Eye Cosmetics
Bibliographic record
Abstract
This study investigated ethanolysis of both crude and pre-treated Jatropha oil using immobilized lipase from Pseudomonas cepacia. The methods employed were stepwise addition of ethanol and n-hexane as solvent. The ethanol was added three times in a stepwise way so as to prevent enzyme inhibition. The effects of reaction temperature and oil to ethanol ratio were studied. Maximum yields of fatty acid ethyl ester (FAEE) of 66.7 wt%, 72.1 wt% and 58.8 wt% were obtained at oil to ethanol ratio of 1:4 for crude Jatropha curcas oil at reaction temperatures of 30, 40, and 50 oC respectively. Each run of the experiment took an overall reaction period of 48 h. These results showed the best optimized reaction temperature to be 40 oC. A maximum FAEE yield of 96.1 wt% was obtained when pre-treated Jatropha curcas oil was transesterified at the best optimized conditions. The loss noticed after 13 cycles in the activity of the enzyme was quite negligible. This proved it to be a stable one. The physical properties of the biodiesel obtained from the pre-treated Jatropha oil met the ASTM standard of D-6751.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".